ABSTRACT
A dynamics model of human lower extremity, which combines musculotendon dynamics and muscle excitation-contraction dynamics, is presented. With this model, a motion process of normal gait during swing phase is numerically analyzed by use of the optimal control theory. The model was verified using experimental kinematics, muscles activation, and electromyographic data. The result showed that the tri-phasic activation pattern and synergistic muscles displayed during a normal gait in swing phase. The pattern consists of three distinct phases, i. e., acceleration during moving initiation, braking the moving segment, and posture control at the final specified position.
Subject(s)
Humans , Biomechanical Phenomena , Computer Simulation , Electromyography , Gait , Physiology , Kinetics , Lower Extremity , Physiology , Models, Biological , Muscle, Skeletal , Physiology , Tendons , PhysiologyABSTRACT
Ligaments are the main parts which stabilize the knee joint. How to analog the ligaments in biomechanical model will affect the characteristics of the human knee dynamics and in the computation of the stress in ligaments between two bones. This symposium is aimed at the survey of the simplified method of the ligaments via mechanical parameters, and providing an exact method of constructing model.
Subject(s)
Humans , Biomechanical Phenomena , Knee Joint , Physiology , Ligaments, Articular , Physiology , Models, Anatomic , Models, BiologicalABSTRACT
In order to discuss the evaluation method of human upper limb movements, the patterns of movement coordination during healthy people prehension have been researched. Eight subjects were asked to perform different reaching-grasping and drinking water from the cup tasks with different indices of difficulty, and the arm movement trajectories and the main muscles group electromyography (EMG) data were collected. To explore the prehension control mechanism, a comparison has been made between the solution of the theoretic calculation and the experimental data. The results show that the topological invariance was observed in the trajectories of different task performance, and the linear relationships between joints covariation were exhibited. Moreover, the different muscles were controlled and combined into units of synergistic muscular group necessary to reach and grasp the goal.
Subject(s)
Adult , Humans , Male , Electromyography , Hand , Physiology , Hand Strength , Physiology , Models, Biological , Range of Motion, Articular , Physiology , Upper Extremity , PhysiologyABSTRACT
Evaluation of human gait function is of great significance in clinical medicine and rehabilitation engineering. A quantitative gait evaluation method using principal component analysis was proposed. The evaluation steps included that a series of characteristic index was performed by the gait parameters with a gait detection, and the index was normalized, quantified and summarized by principal component analysis. Then the evaluation results were shown in formulation, figures and tables. The examples showed that this system could evaluate the recovery of the gait by treatment.